OculusGraphy: Description and Time Domain Analysis of Full-Field Electroretinograms Database
Albasu FB, Dey S, Dolganov AY, Hamzaoui OE, Mustafa WM, Zhdanov AE (2023)
Publication Type: Conference contribution
Publication year: 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 64-67
Conference Proceedings Title: Proceedings - 2023 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2023
Event location: Yekaterinburg, RUS
ISBN: 9798350336054
DOI: 10.1109/USBEREIT58508.2023.10158887
Abstract
Electroretinography is an established electrophysiological technique for clinical investigation of visual health function. The test involves the non-invasive assessment of the retinal function using light stimulation. This study presents a comprehensive database of five types of signals, including Scotopic 2.0 ERG response, Photopic 2.0 ERG response, Maximum 2.0 ERG response, Photopic 2.0 EGR Flicker response and Scotopic 2.0 ERG Oscillatory Potentials. The database includes 1975 signals from 323 patients, consisting of both adults and children. This study seeks to evaluate and analyze the classical parameters of three of the five signals, specifically Scotopic 2.0 ERG response, Photopic 2.0 ERG response, and Maximum 2.0 ERG response, using time-domain analysis. Correlation analysis was conducted in order to gain insights into the potential relationship between a patient's age and the classical parameters. However, the results suggest little to no correlation between these factors. The database presented in this study will serve as a useful resource for further research in the field of electrophysiology. Future research in this area could explore the use of other advanced analysis methods, such as frequency and time-frequency domain analyses, in order to gain further insights into the nuances of these signals and to better differentiate between healthy patients and those with pathologies. Additionally, further research is needed to establish norms for pediatric signals in order to better understand retinal health in children.
Involved external institutions
Russian Federation (RU)How to cite
APA:
Albasu, F.B., Dey, S., Dolganov, A.Y., Hamzaoui, O.E., Mustafa, W.M., & Zhdanov, A.E. (2023). OculusGraphy: Description and Time Domain Analysis of Full-Field Electroretinograms Database. In Proceedings - 2023 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2023 (pp. 64-67). Yekaterinburg, RUS: Institute of Electrical and Electronics Engineers Inc..
MLA:
Albasu, Faisal B., et al. "OculusGraphy: Description and Time Domain Analysis of Full-Field Electroretinograms Database." Proceedings of the 2023 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2023, Yekaterinburg, RUS Institute of Electrical and Electronics Engineers Inc., 2023. 64-67.
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